JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 3    Issue : 8    Date : August 2008

Discourse Analysis of Public Debates Using Corpus Linguistic Methodologies
Hayeong Jeong, Shun Shiramatsu, Kiyoshi Kobayashi, and Tsuyoshi Hatori
Page(s): 58-68
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Abstract
The aim of this study is to develop a computational method of discourse analysis based on corpus
semantics. The objective is to achieve an accurate understanding of the debate content and
structure through hypotheses generation. As for verifying the hypotheses, the topic extraction and
semantic similarity evaluation from the public debate minute corpus is examined by using a
multimethod which includes TFIDF, T-VSM, and MDS. The main issue of public debate and the
inconsistency level between participants’ utterance could be described by using the method. The
methodology presented in this study is applied to a case example. Finally, the applicability of the
proposed methodology to practical debates is discussed.

Index Terms
Content and Structure of Discourse, Corpus Semantics, Computational Methodology